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Data Analyst with 1+ years in Business Intelligence & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst and BI graduate with internship experience collecting, analyzing, and interpreting large-scale datasets to generate business insights and drive decision-making. Built Power BI dashboards and automated SQL and Python reporting pipelines that cut processing time 35% and reduced manual effort 30% across 100,000+ records. Strong analytical and presentation skills. Seeking entry-level Data Analyst or BI roles.
Karakoram International University
Bachelor of Science · Software Engineering
September 1, 2021 – September 1, 2025
Living Path
Data Management Intern
July 1, 2025 – August 1, 2025
India
Precise Tech
Business Intelligence Analyst Intern
September 1, 2024 – January 1, 2025
India
Aether Insight Platform
September 1, 2025 – June 1, 2026
Built an end-to-end data pipeline to collect, clean, transform, and store multi-source EV market data with modular analytical workflows for segmentation, trend analysis, and business performance reporting. Developed a Next.js analytics dashboard to visualize insights and support data-driven decision-making across stakeholder teams. Stack: Python, SQL, FastAPI, MySQL, Excel.
Duolingo User Churn Prediction
September 1, 2025 – June 1, 2026
Built ML and deep learning models (MLP, LSTM) to analyze and interpret learner behavioral patterns from 100K+ records, predicting early user churn with measurable accuracy gains. Applied SHAP interpretability to surface findings and support ethical, data-driven recommendations. Stack: Python, Scikit-learn, Pandas, SHAP.
Introduction to Data Engineering
IBM
June 1, 2026 – Present
Foundations: Data, Data, Everywhere
IBM
June 1, 2026 – Present
Python for Data Science, AI & Development
IBM
June 1, 2026 – Present
BI Essentials
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying diverse data analysis techniques, from traditional BI to machine learning. The internship experiences show an ability to work within organizational structures and contribute to business goals. The breadth of skills and tools used (Python, SQL, Power BI, Excel, ML frameworks, FastAPI, Next.js) indicates adaptability and a willingness to explore different technologies, which aligns well with dynamic data-driven environments. The certifications further underscore a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's project and internship descriptions indicate an ability to collaborate with cross-functional teams and align data outputs with business objectives. The focus on automating reporting and improving data accuracy suggests an operational mindset geared towards efficiency and reliability. The use of SHAP for interpretability also points to an ethical and transparent approach to data science.